• Title/Summary/Keyword: User's Emotional Response

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A Study on the Effect of Emotional Labor Experienced by Local Public Library Staffs on Job Satisfaction and Organizational Commitment: The Case of Three Regional Public Libraries in Gyeonggi-do (지자체 공공도서관 직원의 감정노동이 직무만족 및 조직몰입에 미치는 영향에 관한 연구 - 경기도 3개 지역 공공도서관을 중심으로 -)

  • Park, Jin-Hee;Kim, Hyo-Suk
    • Journal of Korean Library and Information Science Society
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    • v.53 no.3
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    • pp.405-429
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    • 2022
  • This study investigated the differences in emotional labor, job satisfaction, and organizational commitment by job type, and the effect of emotional labor on job satisfaction and organizational commitment for public library employees. Using SPSS 27.0, the survey contents were performed frequency analysis, factor analysis, validity analysis, reliability analysis, correlation analysis, and multiple regression analysis. As a result of the study, it was found that the librarianship experienced more emotional labor than non-librarians, and the frequency of emotional labor increased depending on whether or not the civil service was included, and had a negative effect on overall job satisfaction and job condition satisfaction. However, in the case of psychological response to job satisfaction, library data work was found to be high. In terms of user service, emotional labor that occurs in librarians' work has two sides, which can have both positive and negative effects on the librarian's job satisfaction and organizational commitment. Therefore, practical measures to reduce the frequency and emotional dissonance of emotional labor and increase the diversity of emotional labor should be included in the user response manual and future mental health promotion program development.

Analysis of Emotional Responses to Different Graphical Styles of Natural Scenery in Video Games (게임에서의 자연풍경의 그래픽 스타일 차이에 따른 감성 반응 분석)

  • Hansun Hong;Seongsu Kim;Minji Kang;Juyoung Lee
    • Journal of Environmental Science International
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    • v.32 no.12
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    • pp.979-985
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    • 2023
  • After the outbreak of COVID-19, the demand for home-enjoyable video games has surged, driven by extended pandemic conditions and resulting in rapid graphic technology advancements. Consequently, games with diverse expression techniques have emerged, captivating players. Virtual Reality (VR) environments predominantly feature natural landscapes, with advancing graphic technology enabling lifelike scenes. The rise in individuals seeking solace through natural elements in games has followed suit. As VR technology and metaverse interest grow, more people are exposed to digital imagery. However, evidence on the influence of graphic expression methods on emotional response to that is lacking. Our study examined user emotional responses, focusing on natural landscapes in digital graphics of games. Analyzing a group of 47 young adults as frequent digital media consumers, we studied reactions to different image styles (Realism, Semi-Realism, Stylized). In the analysis, Realism-style images were perceived the most positively, while emotional responses to natural landscapes with different graphical expressions showed no significant differences. Results suggest that recognizing digital natural landscapes may outweigh expression style impacting the evaluation of digital nature. This study's empirical analysis enhances the understanding of digital nature's application to actual situations.

Maximum Entropy-based Emotion Recognition Model using Individual Average Difference (개인별 평균차를 이용한 최대 엔트로피 기반 감성 인식 모델)

  • Park, So-Young;Kim, Dong-Keun;Whang, Min-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.7
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    • pp.1557-1564
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    • 2010
  • In this paper, we propose a maximum entropy-based emotion recognition model using the individual average difference of emotional signal, because an emotional signal pattern depends on each individual. In order to accurately recognize a user's emotion, the proposed model utilizes the difference between the average of the input emotional signals and the average of each emotional state's signals(such as positive emotional signals and negative emotional signals), rather than only the given input signal. With the aim of easily constructing the emotion recognition model without the professional knowledge of the emotion recognition, it utilizes a maximum entropy model, one of the best-performed and well-known machine learning techniques. Considering that it is difficult to obtain enough training data based on the numerical value of emotional signal for machine learning, the proposed model substitutes two simple symbols such as +(positive number)/-(negative number) for every average difference value, and calculates the average of emotional signals per second rather than the total emotion response time(10 seconds).

A Deep Learning Model for Extracting Consumer Sentiments using Recurrent Neural Network Techniques

  • Ranjan, Roop;Daniel, AK
    • International Journal of Computer Science & Network Security
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    • v.21 no.8
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    • pp.238-246
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    • 2021
  • The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.

A Study of Users' EEG Responses to Different Types of Fashion Films (패션필름의 유형에 따른 이용자의 뇌파 반응 연구)

  • Chungsun Lee;Seunghee Lee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.47 no.2
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    • pp.323-336
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    • 2023
  • In the 21st century, fashion films are frequently used throughout the fashion industry. In particular, as videos have become an essential element and a communication tool of social media, they are becoming even more important in the world of fashion. In this study, different types of short-length fashion films (< 0:60) in current use were derived, and the effects of on the cognitive and emotional responses of users were analyzed using electroencephalogram(EEG) findings. EEG measurements were performed using Epoc+ on 31 healthy women aged 20-29 years after viewing six types of fashion films[fiction/well-made, fiction/user generated content(UGC), documentary/well-made, documentary/UGC, art/well-made, and art/UGC] in random order. The results demonstrate differences among four types of films. Specifically, alpha waves in the frontal lobe decreased more while watching documentary/UGC films than while watching art/well-made films. Gamma waves in the temporal lobe decreased more while watching fiction/well-made films than while watching documentary/UGC films. Furthermore, theta waves in the occipital lobe increased more while watching fiction/well-made films than while watching art/UGC films. These findings suggest that different types of fashion films can stimulate different parts of the brain that process thinking, cognition, emotion, and visual and auditory information and consequently evoke emotional responses.

Study of User Reuse Intention for Gamified Interactive Movies upon Flow Experience

  • Han, Zhe;Lee, Hyun-Seok
    • Journal of Multimedia Information System
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    • v.7 no.4
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    • pp.281-293
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    • 2020
  • As Christine Daley suggested, "interaction-image" is considered to be typical in the age of "Cinema 3.0", which integrates the interactivity of game art and obscures the boundary between producers and customers. In this case, users are allowed to involve actively in the scene as "players" to manage the tempo of the story to some extent, it, thus, makes users pleased to watch interactive movies repeatedly for trying a diverse option to unlock more branch lines. Accordingly, this paper aims to analyze the contributory factors and effect mechanism of users' reuse intention for gamified interactive movies and offer specific concepts to improve the reuse intention from the interactive film production and operation perspectives. Upon integrating the Flow theory and Technology Acceptance Model (TAM) and separating the intrinsic and extrinsic motivations of key factors based on Stimulus-Organism-Response (S-O-R), the research builds an empirical analysis model for users' reuse intention with cognition, design, attitude emotional experience and conducts an empirical analysis on 425 pieces of valid sample data applying SPSS22 and Amos23. The results show that user satisfaction and flow experience impact users' reuse intention highly and perceived usefulness, perceived ease of use, perceived enjoyment, remote perception, interactivity, and flow experience have significant positive influence on user satisfaction experience.

Development and User Satisfaction of a Mobile Phone Application for Image-based Dietary Assessment (카메라가 장착된 모바일 폰을 이용한 24시간 식사 회상 앱 개발 및 만족도 연구)

  • Kim, Seo-Yoon;Chung, Sang-Jin
    • Korean Journal of Community Nutrition
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    • v.22 no.6
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    • pp.485-494
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    • 2017
  • Objectives: The objective of this study was to develop mobile phone application for image-based dietary assessment and evaluate satisfaction regarding respondent's use of the mobile phone application. Methods: We developed a mobile phone application to assess dietary intakes using 24 hour dietary recall. After initial development, application was reviewed by ten adults and revised based on their comments. We recruited 192 volunteers (92 males, 100 females) to use the mobile phone application and to respond to a satisfaction survey. Participants were instructed to use the mobile phone application with fiducial marker five centimeter in width, length and two centimeter height at each eating occasion during designated 4 days, capturing $45^{\circ}$ angle and $90^{\circ}$ angle images of all food and beverage items before and after consumption. After using the mobile phone application for 4 days, participants were asked to complete an online questionnaire on the satisfaction of the mobile phone app. User satisfaction items composed of 12 questions of application user interface, 8 questions of emotional response, 9 questions of eating behavior in 5 likert scale. Participants were also asked to provide additional open-ended comments on the use of mobile phone application. Statistical analysis was performed by using the SPSS 23.0 (Statistical Package for the Social Science). Results: The average user interface score was $2.82{\pm}1.08$, which was close to the 'normal' response. Responses for emotion and eating behavior also were borderline to the 'normal'. Conclusions: This study found that the mobile phone application using 24-hour recall was acceptable to be used to assess dietary intakes for several days. However, there should be a need for such technology to be user-oriented instead of researcher-oriented. Easy and cost-effective new technology is needed for estimating the amounts of food eaten automatically when the photos are taken.

The Effects of Virtual Reality Advertisement on Consumer's Intention to Purchase: Focused on Rational and Emotional Responses (가상현실(Virtual Reality) 광고가 소비자 구매의도에 미치는 영향: 이성적인 반응과 감성적인 반응의 통합)

  • Cha, Jae-Yol;Im, Kun-Shin
    • Asia pacific journal of information systems
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    • v.19 no.4
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    • pp.101-124
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    • 2009
  • According to Wikipedia, virtual reality (VR) is defined as a technology that allows a user to interact with a computer-simulated environment. Due to a rapid growth in information technology (IT), the cost of virtual reality has been decreasing while the utility of virtual reality advertisements has dramatically increased. Nevertheless, only a few studies have investigated the effects of virtual reality advertisement on consumer behaviors. Therefore, the objective of this study is to empirically examine the effects of virtual reality advertisement. Compared to traditional online advertisements, virtual reality advertisement enables consumers to experience products realistically over the Internet by providing high media richness, interactivity, and telepresence (Suh and Lee, 2005). Advertisements with high media richness facilitate consumers' understanding of advertised products by providing them with a large amount and a high variety of information on the products. Interactivity also provides consumers with a high level of control over the computer-simulated environment in terms of their abilities to adjust the information according to their individual interests and concerns and to be active rather than passive in their engagement with the information (Pimentel and Teixera, 1994). Through high media richness and interactivity, virtual reality advertisements can generate compelling feelings of "telepresence" (Suh and Lee, 2005). Telepresence is a sense of being there in an environment by means of a communication medium (Steuer, 1992). Virtual reality advertisements enable consumers to create a perceptual illusion of being present and highly engaged in a simulated environment, while they are in reality physically present in another place (Biocca, 1997). Based on the characteristics of virtual reality advertisements, a research model has been proposed to explain consumer responses to the virtual reality advertisements. The proposed model includes two dimensions of consumer responses. One dimension is consumers' rational response, which is based on the Information Processing Theory. Based on the Information Processing Theory, product knowledge and perceived risk are selected as antecedents of intention to purchase. The other dimension is emotional response of consumers, which is based on the Attitude-Structure Theory. Based on the Attitude-Structure Theory, arousal, flow, and positive affect are selected as antecedents of intention to purchase. Because it has been criticized to have investigated only one of the two dimensions of consumer response in prior studies, our research model has been built so as to incorporate both dimensions. Based on the Attitude-Structure Theory, we hypothesized the path of consumers' emotional responses to a virtual reality advertisement: (H1) Arousal by the virtual reality advertisement increases flow; (H2) Flow increases positive affect; and (H3) Positive affect increases intension to purchase. In addition, we hypothesized the path of consumers' rational responses to the virtual reality advertisement based on the Information Processing Theory: (H4) Increased product knowledge through the virtual reality advertisement decreases perceived risk; and (H5) Perceived risk decreases intension to purchase. Based on literature of flow, we additionally hypothesized the relationship between flow and product knowledge: (H6) Flow increases product knowledge. To test the hypotheses, we conducted a free simulation experiment [Fromkin and Streufert, 1976] with 300 people. Subjects were asked to use the virtual reality advertisement of a cellular phone on the Internet and then answer questions about the variables. To check whether subjects fully experienced the virtual reality advertisement, they were asked to answer a quiz about the virtual reality advertisement itself. Responses of 26 subjects were dropped because of their incomplete answers. Responses of 274 subjects were used to test the hypotheses. It was found that all of six hypotheses are accepted. In addition, we found that consumers' emotional response has stronger impact on their intention to purchase than their rational response does. This study sheds much light into practical implications for both IS researchers and managers. First of all, while most of previous research has analyzed only one of the customers' rational and emotional responses, we theoretically incorporated and empirically examined both of the two sides. Second, we empirically showed that mediators such as arousal, flow, positive affect, product knowledge, and perceived risk play an important role between virtual reality advertisement and customer's intention to purchase. In addition, the findings of this study can provide a basis of practical strategies for managers. It was found that consumers' emotional response is stronger than their rational response. This result indicates that advertisements using virtual reality should focus on the emotional side, and that virtual reality can be served as an appropriate advertisement tool for fancy products that require their online advertisements to give an impetus to customers' emotion. Finally, even if this study examined the effects of virtual reality advertisement of cellular phone, its findings could be applied to other products that are suited for virtual experience. However, this research has some limitations. We were unable to control different kinds of consumers and different attributes of products on consumers' intention to purchase. It is, therefore, deemed important for future research to control the consumer and product types for more reliable results. In addition to the consumer and product attributes, other variables could affect consumers' intention to purchase. Thus, the future research needs to find ways t control other variables.

The Study on the Emotional Lighting by Combination of Hybrid Materials (혼성적 소재의 결합을 통한 감성조명 연구)

  • Lee, Yun-Joo
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2006.11a
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    • pp.187-188
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    • 2006
  • With development of global network in the 21th century, Korea has recklessly accepted western culture occurred damages to our identity. Development of traditions in a modern way contribute us Korea identity and future vision. This study has studied about combination traditional material and contemporary material with a view to diversified user's desires and individuality. This object shows that function and decoration coexist together, and design reflects mans life and thinking of the age as a reflection of sociocultural phenomena. The purpose of this work to create the object that meets mans requirement and even foresees the possibility of such requirement through converting into various appearances. Different concepts including closed singleness and expansion within open structure coexist one element. also this objects suggest that transformative expressions that simplify or transform, the forms can be freely changed by consumer's emotional changes. Here, light and form are experimented for creating diversified emotions. Considering design as positively responding behavior against the limitations given by environment instead of the solution to simple functional requirement, future design will find Its value more In more active response.

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A Comparative Study of Emotional Response to Korean Drama among Countries: With Drama 'Goblin' (한국 드라마 수용에 있어서 국가별 감정 반응 분석: 드라마 <도깨비>를 중심으로)

  • Lee, Yewon;Woo, Sungju
    • Science of Emotion and Sensibility
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    • v.20 no.4
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    • pp.31-40
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    • 2017
  • This research aims to investigate 'Hallyu' contents consumption tendency of consumers from Korea, Japan, and the United States by analyzing their emotional responses. With the development of social media, research on emotion analysis by reviewing text materials has grown. Whereas environmental variables affect consumer demand towards 'Hallyu' contents, little comparative analyses have been conducted on the emotional responses of consumers from different countries. In this research, the emotional prototype model proposed by Russell(1980) used to extract and distinguish emotional words to clarify how people in the three countries differently perceive the Korean drama "Goblin". First of all, the SNS reviews were collected during a two-month period (February 12 to April 12). Second, significant factors were identified in the collected data according to Russell's emotion model. Third, random forest was applied to organize the selected variables in the order of variable importance. Fourth, the correlations among the emotional words were compared. Lastly, the accuracy of the trained model was measured using the test dataset. The results show that "Happy" was found to be the greatest factor in Korea and in the United States and "Pleased" in Japan. Emotional words correlations showed that when watching the drama "Goblin", "passive unpleasure" was the main factor associated with individual's interest in Korea whereas "passive pleasure" was associated with individual's interest in Japan and in the United States. Based on the results, this research suggests the possibility of developing evaluation guidelines for emotional responses of different countries towards 'Hallyu' contents.